Epidemiological and Molecular Characteristics of the PB1-F2 Proteins in H7N9 Influenza Viruses, Jiangsu
Identifieur interne : 000B33 ( Ncbi/Merge ); précédent : 000B32; suivant : 000B34Epidemiological and Molecular Characteristics of the PB1-F2 Proteins in H7N9 Influenza Viruses, Jiangsu
Auteurs : Pingmin Wei [République populaire de Chine] ; Wei Li [République populaire de Chine] ; Hairong Zi [République populaire de Chine] ; Michael Cunningham [République populaire de Chine] ; Yan Guo [République populaire de Chine] ; Yang Xuan [République populaire de Chine] ; Taha Hussein Musa [République populaire de Chine] ; Pengfei Luo [République populaire de Chine]Source :
- BioMed Research International [ 2314-6133 ] ; 2015.
Abstract
The recent sporadic infections of humans in China with previously unrecognized avian influenza A virus of the H7N9 subtype (A(H7N9)) have caused concern. The aim is to find out the epidemiological and molecular analysis of the PB1-F2 proteins in H7N9 influenza viruses, in Jiangsu province. Sequences were obtained from GISAID database. Data were analyzed by using Molecular Evolutionary Genetics Analysis software and Bayesian Markov chain Monte Carlo method. From March 1, 2013, to May 31, 2014, 53 patients were confirmed to be infected with the H7N9 virus; one was a retrospective case in Jiangsu province. 38 sequences of PB1 in H7N9 of Jiangsu were obtained from the GISAID online and were then divided into three lineages. Of these sequences, 4 sequences and 3 sequences encode an N-terminally truncated PB1-F2 (52aa)polypeptide and C-terminally truncated PB1-F2 (76aa) polypeptide, respectively. The remaining sequences encode a full-length PB1-F2 (90aa). We estimated a mean evolutionary rate of 3.053 × 10−3 subs/site/year (95% HPD: 2.021 × 10−3–4.051 × 10−3). The site-by-site analysis of selection pressure analysis revealed positively and negatively (12, 3), respectively, selected sites. Influenza A (H7N9) virus adapting into new host, PB1-F2 of H7N9, might be faced with higher selection pressures.
Url:
DOI: 10.1155/2015/804731
PubMed: 25649785
PubMed Central: 4310227
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<front><div type="abstract" xml:lang="en"><p>The recent sporadic infections of humans in China with previously unrecognized avian influenza A virus of the H7N9 subtype (A(H7N9)) have caused concern. The aim is to find out the epidemiological and molecular analysis of the PB1-F2 proteins in H7N9 influenza viruses, in Jiangsu province. Sequences were obtained from GISAID database. Data were analyzed by using Molecular Evolutionary Genetics Analysis software and Bayesian Markov chain Monte Carlo method. From March 1, 2013, to May 31, 2014, 53 patients were confirmed to be infected with the H7N9 virus; one was a retrospective case in Jiangsu province. 38 sequences of PB1 in H7N9 of Jiangsu were obtained from the GISAID online and were then divided into three lineages. Of these sequences, 4 sequences and 3 sequences encode an N-terminally truncated PB1-F2 (52aa)polypeptide and C-terminally truncated PB1-F2 (76aa) polypeptide, respectively. The remaining sequences encode a full-length PB1-F2 (90aa). We estimated a mean evolutionary rate of 3.053 × 10<sup>−3</sup>
subs/site/year (95% HPD: 2.021 × 10<sup>−3</sup>
–4.051 × 10<sup>−3</sup>
). The site-by-site analysis of selection pressure analysis revealed positively and negatively (12, 3), respectively, selected sites. Influenza A (H7N9) virus adapting into new host, PB1-F2 of H7N9, might be faced with higher selection pressures.</p>
</div>
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<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Biomed Res Int</journal-id>
<journal-id journal-id-type="iso-abbrev">Biomed Res Int</journal-id>
<journal-id journal-id-type="publisher-id">BMRI</journal-id>
<journal-title-group><journal-title>BioMed Research International</journal-title>
</journal-title-group>
<issn pub-type="ppub">2314-6133</issn>
<issn pub-type="epub">2314-6141</issn>
<publisher><publisher-name>Hindawi Publishing Corporation</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">25649785</article-id>
<article-id pub-id-type="pmc">4310227</article-id>
<article-id pub-id-type="doi">10.1155/2015/804731</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Epidemiological and Molecular Characteristics of the PB1-F2 Proteins in H7N9 Influenza Viruses, Jiangsu</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Wei</surname>
<given-names>Pingmin</given-names>
</name>
<xref ref-type="aff" rid="I1"><sup>1</sup>
</xref>
<xref ref-type="corresp" rid="cor1"><sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Li</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="aff" rid="I2"><sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Zi</surname>
<given-names>Hairong</given-names>
</name>
<xref ref-type="aff" rid="I1"><sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-1941-0056</contrib-id>
<name><surname>Cunningham</surname>
<given-names>Michael</given-names>
</name>
<xref ref-type="aff" rid="I1"><sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Guo</surname>
<given-names>Yan</given-names>
</name>
<xref ref-type="aff" rid="I1"><sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Xuan</surname>
<given-names>Yang</given-names>
</name>
<xref ref-type="aff" rid="I1"><sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Musa</surname>
<given-names>Taha Hussein</given-names>
</name>
<xref ref-type="aff" rid="I1"><sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Luo</surname>
<given-names>Pengfei</given-names>
</name>
<xref ref-type="aff" rid="I3"><sup>3</sup>
</xref>
</contrib>
</contrib-group>
<aff id="I1"><sup>1</sup>
Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, China</aff>
<aff id="I2"><sup>2</sup>
Department of Infectious Disease Prevention and School Health, Nanjing Municipal Center for Disease Control and Prevention, 2 Zizhulin, Nanjing, Jiangsu 210009, China</aff>
<aff id="I3"><sup>3</sup>
Department of Chronic Non-Communicable Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China</aff>
<author-notes><corresp id="cor1">*Pingmin Wei: <email>mpw1963@126.com</email>
</corresp>
<fn fn-type="other"><p>Academic Editor: Cheng-Feng Qin</p>
</fn>
</author-notes>
<pub-date pub-type="ppub"><year>2015</year>
</pub-date>
<pub-date pub-type="epub"><day>20</day>
<month>1</month>
<year>2015</year>
</pub-date>
<volume>2015</volume>
<elocation-id>804731</elocation-id>
<history><date date-type="received"><day>26</day>
<month>8</month>
<year>2014</year>
</date>
<date date-type="rev-recd"><day>7</day>
<month>12</month>
<year>2014</year>
</date>
<date date-type="accepted"><day>11</day>
<month>12</month>
<year>2014</year>
</date>
</history>
<permissions><copyright-statement>Copyright © 2015 Pingmin Wei et al.</copyright-statement>
<copyright-year>2015</copyright-year>
<license xlink:href="https://creativecommons.org/licenses/by/3.0/"><license-p>This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<abstract><p>The recent sporadic infections of humans in China with previously unrecognized avian influenza A virus of the H7N9 subtype (A(H7N9)) have caused concern. The aim is to find out the epidemiological and molecular analysis of the PB1-F2 proteins in H7N9 influenza viruses, in Jiangsu province. Sequences were obtained from GISAID database. Data were analyzed by using Molecular Evolutionary Genetics Analysis software and Bayesian Markov chain Monte Carlo method. From March 1, 2013, to May 31, 2014, 53 patients were confirmed to be infected with the H7N9 virus; one was a retrospective case in Jiangsu province. 38 sequences of PB1 in H7N9 of Jiangsu were obtained from the GISAID online and were then divided into three lineages. Of these sequences, 4 sequences and 3 sequences encode an N-terminally truncated PB1-F2 (52aa)polypeptide and C-terminally truncated PB1-F2 (76aa) polypeptide, respectively. The remaining sequences encode a full-length PB1-F2 (90aa). We estimated a mean evolutionary rate of 3.053 × 10<sup>−3</sup>
subs/site/year (95% HPD: 2.021 × 10<sup>−3</sup>
–4.051 × 10<sup>−3</sup>
). The site-by-site analysis of selection pressure analysis revealed positively and negatively (12, 3), respectively, selected sites. Influenza A (H7N9) virus adapting into new host, PB1-F2 of H7N9, might be faced with higher selection pressures.</p>
</abstract>
</article-meta>
</front>
<floats-group><fig id="fig1" orientation="portrait" position="float"><label>Figure 1</label>
<caption><p>Geographic distribution of H7N9 cases in Jiangsu province.</p>
</caption>
<graphic xlink:href="BMRI2015-804731.001"></graphic>
</fig>
<fig id="fig2" orientation="portrait" position="float"><label>Figure 2</label>
<caption><p>Phylogenetic tree of influenza A viruses for their PB1 gene nucleotide sequences. Sequence analysis was conducted using Molecular Evolutionary Genetics Analysis software by the neighbor-joining method. Note: ●: N-terminally truncated PB1-F2 (52aa); ◆: C-terminally truncated PB1-F2 (76aa); ▲: C-terminally truncated PB1-F2 (57aa).</p>
</caption>
<graphic xlink:href="BMRI2015-804731.002"></graphic>
</fig>
<fig id="fig3" orientation="portrait" position="float"><label>Figure 3</label>
<caption><p>Alignment of putative PB1-F2 amino acid sequences of 38 Jiangsu H7N9 strains and A/Anhui/1/2013.</p>
</caption>
<graphic xlink:href="BMRI2015-804731.003"></graphic>
</fig>
<table-wrap id="tab1" orientation="portrait" position="float"><label>Table 1</label>
<caption><p>Selection pressure analysis of PB1-F2 protein of H7N9 and H9N2 virus using SLAC, FEL, and REL methods.</p>
</caption>
<table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="2" colspan="1">Methods</th>
<th align="center" colspan="4" rowspan="1">Positive selection site data</th>
<th align="center" colspan="4" rowspan="1">Negative selection site data</th>
</tr>
<tr><th align="center" rowspan="1" colspan="1">Position</th>
<th align="center" rowspan="1" colspan="1">Normalised (<italic>E</italic>
) dN/dS</th>
<th align="center" rowspan="1" colspan="1"><italic>P</italic>
value</th>
<th align="center" rowspan="1" colspan="1">Bayes factor</th>
<th align="center" rowspan="1" colspan="1">Position</th>
<th align="center" rowspan="1" colspan="1">Normalised (<italic>E</italic>
) dN/dS</th>
<th align="center" rowspan="1" colspan="1"><italic>P</italic>
value</th>
<th align="center" rowspan="1" colspan="1">Bayes factor</th>
</tr>
</thead>
<tbody><tr><td align="left" rowspan="2" colspan="1">SLAC</td>
<td align="center" rowspan="1" colspan="1">48</td>
<td align="center" rowspan="1" colspan="1">11.39</td>
<td align="center" rowspan="1" colspan="1">0.026</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1">24</td>
<td align="center" rowspan="1" colspan="1">−7.98</td>
<td align="center" rowspan="1" colspan="1">0.039</td>
<td align="center" rowspan="1" colspan="1">/</td>
</tr>
<tr><td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1">65</td>
<td align="center" rowspan="1" colspan="1">−9.36</td>
<td align="center" rowspan="1" colspan="1">0.032</td>
<td align="center" rowspan="1" colspan="1">/</td>
</tr>
<tr><td align="center" colspan="9" rowspan="1"><hr></hr>
</td>
</tr>
<tr><td align="left" rowspan="6" colspan="1">FEL</td>
<td align="center" rowspan="1" colspan="1">21</td>
<td align="center" rowspan="1" colspan="1">53.25</td>
<td align="center" rowspan="1" colspan="1">0.028</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1">24</td>
<td align="center" rowspan="1" colspan="1">−46.26</td>
<td align="center" rowspan="1" colspan="1">0.007</td>
<td align="center" rowspan="1" colspan="1">/</td>
</tr>
<tr><td align="center" rowspan="1" colspan="1">37</td>
<td align="center" rowspan="1" colspan="1">25.16</td>
<td align="center" rowspan="1" colspan="1">0.097</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1">65</td>
<td align="center" rowspan="1" colspan="1">−57.34</td>
<td align="center" rowspan="1" colspan="1">0.052</td>
<td align="center" rowspan="1" colspan="1">/</td>
</tr>
<tr><td align="center" rowspan="1" colspan="1">46</td>
<td align="center" rowspan="1" colspan="1">27.01</td>
<td align="center" rowspan="1" colspan="1">0.091</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
</tr>
<tr><td align="center" rowspan="1" colspan="1">48</td>
<td align="center" rowspan="1" colspan="1">77.94</td>
<td align="center" rowspan="1" colspan="1">0.003</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
</tr>
<tr><td align="center" rowspan="1" colspan="1">54</td>
<td align="center" rowspan="1" colspan="1">33.57</td>
<td align="center" rowspan="1" colspan="1">0.042</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
</tr>
<tr><td align="center" rowspan="1" colspan="1">82</td>
<td align="center" rowspan="1" colspan="1">30.98</td>
<td align="center" rowspan="1" colspan="1">0.039</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
</tr>
<tr><td align="center" colspan="9" rowspan="1"><hr></hr>
</td>
</tr>
<tr><td align="left" rowspan="7" colspan="1">REL</td>
<td align="center" rowspan="1" colspan="1">30</td>
<td align="center" rowspan="1" colspan="1">2.43</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1">83.30</td>
<td align="center" rowspan="1" colspan="1">16</td>
<td align="center" rowspan="1" colspan="1">−9.51</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1">131.91</td>
</tr>
<tr><td align="center" rowspan="1" colspan="1">38</td>
<td align="center" rowspan="1" colspan="1">2.44</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1">113.39</td>
<td align="center" rowspan="1" colspan="1">24</td>
<td align="center" rowspan="1" colspan="1">−14.28</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1">10558.2</td>
</tr>
<tr><td align="center" rowspan="1" colspan="1">43</td>
<td align="center" rowspan="1" colspan="1">3.65</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1">118.39</td>
<td align="center" rowspan="1" colspan="1">65</td>
<td align="center" rowspan="1" colspan="1">−12.57</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1">11504.5</td>
</tr>
<tr><td align="center" rowspan="1" colspan="1">48</td>
<td align="center" rowspan="1" colspan="1">18.14</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1">357.09</td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
</tr>
<tr><td align="center" rowspan="1" colspan="1">64</td>
<td align="center" rowspan="1" colspan="1">2.38</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1">200.36</td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
</tr>
<tr><td align="center" rowspan="1" colspan="1">72</td>
<td align="center" rowspan="1" colspan="1">3.71</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1">198.05</td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
</tr>
<tr><td align="center" rowspan="1" colspan="1">82</td>
<td align="center" rowspan="1" colspan="1">4.75</td>
<td align="center" rowspan="1" colspan="1">/</td>
<td align="center" rowspan="1" colspan="1">187.46</td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
<td align="center" rowspan="1" colspan="1"> </td>
</tr>
</tbody>
</table>
<table-wrap-foot><fn><p>SLAC: single likelihood ancestor counting.</p>
</fn>
<fn><p>FEL: fixed effects likelihood.</p>
</fn>
<fn><p>REL: random effects likelihood.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</pmc>
<affiliations><list><country><li>République populaire de Chine</li>
</country>
</list>
<tree><country name="République populaire de Chine"><noRegion><name sortKey="Wei, Pingmin" sort="Wei, Pingmin" uniqKey="Wei P" first="Pingmin" last="Wei">Pingmin Wei</name>
</noRegion>
<name sortKey="Cunningham, Michael" sort="Cunningham, Michael" uniqKey="Cunningham M" first="Michael" last="Cunningham">Michael Cunningham</name>
<name sortKey="Guo, Yan" sort="Guo, Yan" uniqKey="Guo Y" first="Yan" last="Guo">Yan Guo</name>
<name sortKey="Li, Wei" sort="Li, Wei" uniqKey="Li W" first="Wei" last="Li">Wei Li</name>
<name sortKey="Luo, Pengfei" sort="Luo, Pengfei" uniqKey="Luo P" first="Pengfei" last="Luo">Pengfei Luo</name>
<name sortKey="Musa, Taha Hussein" sort="Musa, Taha Hussein" uniqKey="Musa T" first="Taha Hussein" last="Musa">Taha Hussein Musa</name>
<name sortKey="Xuan, Yang" sort="Xuan, Yang" uniqKey="Xuan Y" first="Yang" last="Xuan">Yang Xuan</name>
<name sortKey="Zi, Hairong" sort="Zi, Hairong" uniqKey="Zi H" first="Hairong" last="Zi">Hairong Zi</name>
</country>
</tree>
</affiliations>
</record>
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